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Airship MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Airship through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Airship "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Airship?"
    )
    print(result.data)

asyncio.run(main())
Airship
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Airship MCP Server

Connect your Airship (formerly Urban Airship) account to your AI agent to unlock professional mobile and web engagement orchestration. From sending targeted push notifications to auditing subscriber segments and managing named user associations across multiple channels, your agent handles your multi-channel communication strategy through natural conversation.

Pydantic AI validates every Airship tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Push Orchestration — Send and monitor push notifications to specific audiences, segments, or all users
  • Segmentation Oversight — List and retrieve criteria for your audience segments, including tags and attributes
  • Channel Management — List and audit communication channels (iOS, Android, Web, Email) and retrieve technical metadata
  • User Association — Manage named users to map multiple devices and channels to a single customer profile
  • Engagement Insights — Quickly identify active segments or audit delivery statuses directly from your chat interface

The Airship MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Airship to Pydantic AI via MCP

Follow these steps to integrate the Airship MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Airship with type-safe schemas

Why Use Pydantic AI with the Airship MCP Server

Pydantic AI provides unique advantages when paired with Airship through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Airship integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Airship connection logic from agent behavior for testable, maintainable code

Airship + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Airship MCP Server delivers measurable value.

01

Type-safe data pipelines: query Airship with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Airship tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Airship and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Airship responses and write comprehensive agent tests

Airship MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Airship to Pydantic AI via MCP:

01

associate_named_user

Link device to user

02

get_channel_details

Get device metadata

03

get_push_status

Check push delivery

04

get_segment_details

Get segment criteria

05

list_channels

List app channels

06

list_named_users

List named users

07

list_segments

List audience segments

08

list_static_lists

g. CSV uploads) in your account. List static audiences

09

list_tags

List audience tags

10

send_push_notification

Send a push alert

Example Prompts for Airship in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Airship immediately.

01

"Send a push notification to all users with alert 'Big Sale starting now!'."

02

"List all audience segments in my EU project."

03

"Show details for channel ID '12345678-90ab-cdef-1234-567890abcdef'."

Troubleshooting Airship MCP Server with Pydantic AI

Common issues when connecting Airship to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Airship + Pydantic AI FAQ

Common questions about integrating Airship MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Airship MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Airship to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.